improve-flow

Diagnose user-flow drop-offs using UX laws and generate actionable fixes with a validation checklist.

5|Updated Dec 25, 2025
One-click install
npx skills add https://github.com/rohunvora/my-claude-skills --skill improve-flow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve-flow
Source: https://github.com/rohunvora/my-claude-skills/tree/main/.claude/skills/improve-flow
Command: npx skills add https://github.com/rohunvora/my-claude-skills --skill improve-flow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

When user motivation dips or onboarding feels flat, flows fail to sustain engagement. This Skill applies UX laws to diagnose drop-offs and propose targeted improvements.

Core Features & Use Cases

  • Peak-End Rule: Create a memorable peak and a strong ending.
  • Goal-Gradient Effect: Show visible progress to boost motivation.
  • Zeigarnik Effect: Use unfinished states to encourage return visits.
  • Flow Design Checklist: Map stages and apply law-based fixes.

Quick Start

Map the user journey, diagnose with the three laws, and implement fixes with a follow-up validation.

Frequently Asked Questions about improve-flow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I diagnose why users drop off during onboarding or checkout?

Use flow diagnosis to map each stage of your user journey, identify where motivation or progress visibility fails, and apply the Peak-End Rule, Goal-Gradient Effect, and Zeigarnik Effect to pinpoint drop-off causes. The Skill generates actionable fixes and a validation checklist to improve completion rates.

What is the Peak-End Rule and how does it improve user retention?

The Peak-End Rule creates lasting impressions by designing a memorable peak moment and a strong ending in your flow. Users recall experiences based on their most intense moment and how they ended, so this Skill helps you craft both to boost retention and satisfaction across onboarding, checkout, and form completion.

How can I use progress indicators to prevent mid-flow disengagement?

The Goal-Gradient Effect shows users visible progress toward completion, which increases motivation to finish. This Skill applies that principle to identify where progress indicators are missing and recommends placement and design to sustain momentum through form completion and checkout flows.

Can I use this approach for multiple flow types like onboarding, checkout, and forms?

Yes, flow diagnosis applies to any user journey where motivation wanes or progress is unclear. This Skill handles onboarding, checkout, form completion, and mid-flow experiences by mapping stages, diagnosing with UX laws, and delivering fixes tailored to your specific flow type.

What's the difference between designing for peak moments versus overall experience?

Most flows focus on smoothness throughout, but the Peak-End Rule prioritizes the most intense or satisfying moment and the final impression. This Skill balances both by applying multiple UX laws—Peak-End, Goal-Gradient, and Zeigarnik—so you improve memory, motivation, and return visits simultaneously.

How does the Zeigarnik Effect encourage users to return to incomplete flows?

The Zeigarnik Effect leverages unfinished states to create psychological tension that prompts return visits. This Skill recommends where to apply incomplete states—like unfinished form sections or paused onboarding—so users feel compelled to complete the journey and improve overall retention.